Event overview
Inspirations from human visual cortex for image classification by Jalali Sepehr, Post-Doctoral Fellow, Psychology, City University, London
Image classification is one of the most challenging problems in computer science due to different illuminations, viewpoints, occlusions, scale and shift transforms in the images. Hence no computer vision approach has been capable of dealing with all these issues to provide a complete solution. On the other hand, the human visual system is considered a superior model for various visual recognition tasks. Hence it has motivated researchers to study its mechanisms in order to simulate them.
In this talk, an overview on a hierarchical model, HMAX (Riesenhuber and Poggio, Nature, 1999) for image classification that is biologically inspired and simulates some known characteristics of visual cores is presented. It is followed by our extensions to it, a new colour model (CQ-HMAX) and a comparison on the classification accuracies and performances on different benchmark datasets.
Dr. Sepehr is currently working on his 2nd Post-Doc. project on a BBSRC funded “Sports Decision Making” project. http://www.city.ac.uk/arts-social-sciences/academic-staff-profiles/dr-sepehr-jalali
Dates & times
| Date | Time | Add to calendar |
|---|---|---|
| 4 Mar 2015 | 4:00pm - 5:00pm |
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